{"title":"基于NNC方法的PI控制器多目标整定:简化问题定义和决策准则","authors":"H. Sánchez, R. Vilanova","doi":"10.1109/ETFA.2013.6648008","DOIUrl":null,"url":null,"abstract":"This paper presents the application of the NNC method to the tuning of PI controllers. The main contribution is on the analysis of the tradeoff among different performance indexes as well as the need of considering the robustness as another tradeoff. Robustness has been included during last year's. However, the authors do question if it is needed to include an explicit robustness measure or is better to find its correlation with another performance-like figure of merit. The use of specific compromise criteria to select an unique solution from the Pareto front generates a possibility for tuning a PI control that generates better system outputs than existing tuning methods.","PeriodicalId":106678,"journal":{"name":"2013 IEEE 18th Conference on Emerging Technologies & Factory Automation (ETFA)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"17","resultStr":"{\"title\":\"Multiobjective tuning of PI controller using the NNC Method: Simplified problem definition and guidelines for decision making\",\"authors\":\"H. Sánchez, R. Vilanova\",\"doi\":\"10.1109/ETFA.2013.6648008\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents the application of the NNC method to the tuning of PI controllers. The main contribution is on the analysis of the tradeoff among different performance indexes as well as the need of considering the robustness as another tradeoff. Robustness has been included during last year's. However, the authors do question if it is needed to include an explicit robustness measure or is better to find its correlation with another performance-like figure of merit. The use of specific compromise criteria to select an unique solution from the Pareto front generates a possibility for tuning a PI control that generates better system outputs than existing tuning methods.\",\"PeriodicalId\":106678,\"journal\":{\"name\":\"2013 IEEE 18th Conference on Emerging Technologies & Factory Automation (ETFA)\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-10-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"17\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 IEEE 18th Conference on Emerging Technologies & Factory Automation (ETFA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ETFA.2013.6648008\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE 18th Conference on Emerging Technologies & Factory Automation (ETFA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ETFA.2013.6648008","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Multiobjective tuning of PI controller using the NNC Method: Simplified problem definition and guidelines for decision making
This paper presents the application of the NNC method to the tuning of PI controllers. The main contribution is on the analysis of the tradeoff among different performance indexes as well as the need of considering the robustness as another tradeoff. Robustness has been included during last year's. However, the authors do question if it is needed to include an explicit robustness measure or is better to find its correlation with another performance-like figure of merit. The use of specific compromise criteria to select an unique solution from the Pareto front generates a possibility for tuning a PI control that generates better system outputs than existing tuning methods.